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Mobile and Wireless Networks: Retrospective and Remaining Challenges Jie Wu Department of Computer and Information Scien

Mobile and Wireless Networks: Retrospective and Remaining Challenges Jie Wu Department of Computer and Information Sciences Temple University. Wireless and Mobile Networks. Dead-end or the Dawn of a New Ear? Not dead-end Greatest Opportunities Ahead Theory Mobility: model and applications

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Mobile and Wireless Networks: Retrospective and Remaining Challenges Jie Wu Department of Computer and Information Scien

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  1. Mobile and Wireless Networks:Retrospective and Remaining ChallengesJie WuDepartment of Computer and Information Sciences Temple University

  2. Wireless and Mobile Networks • Dead-end or the Dawn of a New Ear? • Not dead-end • Greatest Opportunities Ahead • Theory • Mobility: model and applications • Applications • Mobile video and mobile cloud

  3. PSU Mobility: Friend or Foe • Routing capability • Foe in dense mode (MANETs) • Friend in sparse mode (DTNs) • Network capacity • Security • Sensor coverage • Information dissemination (mobile pub/sub) • Reducing uncertainty in reputation systems

  4. ICCCN 2011 Panel Graph Models for Dynamic Networks Movement-Assisted Routing in DTNs Store Carry Forward

  5. Applications • Node movement • Vehicular networks (VANETs) • Social contact networks (SCNs) • Edge dynamic • Wireless sensor networks (WSNs) • duty cycle • Cognitive radio networks (CRNs) • primary users (PU) and secondary users (SU) u v pu: {c} su1: {1, 2} su2: {1, 2, c}

  6. ICCCN 2011 Panel Time View window View(i) View(i+1) View(j) Space Connectivity • (u,v) - connectivity under time-space view • All i, (u(i), v(i)) • Exist i, (u(i), v(i)) • Exist i, j, (u(i), v(j)) u v

  7. ICCCN 2011 Panel Evolving Graph and Extensions • Time sequence: t1, t2, ..., tL • Gi = (Vi, Ei): subgraph in [ti, ti+ Δ] • Evolving graph: (V, E), where (u,v) = {i | (u, v) є Ei} (i: label) • Weighted evolving graph (u, v) = {(i, wi) | (u, v) є Ei} where weight wi: bandwidth, reliability, and latency

  8. ICCCN 2011 Panel Optimization Problems Optimization • Earliest-completion • Fastest • Minimum-hop • Maximum-bandwidth • Maximum-reliability

  9. Solution: Slicing and Virtualization • Slicing • Partition G into G1, G2, …, Gi • Select the best among i solutions for Gi • Virtualization • Enlarge G to G’ through virtualization • Solve G’ which includes a solution for G

  10. Mobile video … • Popularity of mobile devices • Smartphones (Android and iPhone platforms) • Netbooks and tablets • Popularity of mobile video • From 2009 – 2014, mobile traffic is predicted to increase 39 times • 66% of this traffic expected to be video by 2014 • Key technologies and players • WiMax. Clearwire/Sprint, Korean Telecom, and UQ/KDDI (Japanese) • LTE. NTT, DoCoMo, Verizon, T-Mobile, AT&T, China Telecom-Unicom, and KDDI

  11. Wireless at Temple University • Metropolitan WiMax deployment • Joint project with Drexel University and City of Philadelphia. • Our goal: • Provide wireless coverage for downtown Philadelphia. • Various projects (later).

  12. Research projects • Tourist applications using city-wide WiMax • WiMax centric bodynet for telemedicine • Content delivery network using WiMax • WiMax mobile surveillance for law enforcement • WiMax enhanced mobile urban sensing

  13. Wireless at Temple University • Why WiMax? • Only choice within GENI. • Need vendor support. Currently, only NEC. • Why Philadelphia? • Digital Philadelphia. Gigabit city vision. • Existing/proposed wireless infrastructure. e.g. 4.9 GHz Wimax video surveillance, 700 MHz LTE citywide overlay.

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